Skip to main content
Journal of Big Data

Table 3 The selected set of features from The IoT_ToN network dataset

From: Hybrid wrapper feature selection method based on genetic algorithm and extreme learning machine for intrusion detection

Method

Selected features

Feature indexes

GA-ELM

21

(0,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28)

DT

35

(0,1,2,3,4,5,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,27,28,29,30,32,34,35,36,37,38)

RF

25

(0,4,9,10,11,12,13,14,15,19,20,22,23,24,25,26,27,28,29,30,31,32,33,34,35)

GB

34

(0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,32,33,34,35,36,37,38)

KNN

21

(0,4,11,12,13,14,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36)

Back to article page